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Get to market fast with SECO’s industrial-class solution featuring Intel Atom® X7000RE processors

SECO’s SOM-SMARC-ASL module: reliability, longevity, ruggedized performance in a small footprint

Advanced technology is the driving force in the dynamic world of the Internet of Things (IoT). And at the forefront of this innovation is the SECO SOM-SMARC-ASL a SMARC® Rel 2.1 compliant module with Intel Atom® Processors x7000RE Series for the Edge. This powerful and versatile module not only offers numerous application possibilities in various IoT areas but also sets new standards in efficiency and reliability, pushing the boundaries of what IoT can achieve.

Notable for its advanced features, the SOM-SMARC-ASL module excels with its standout features. It operates efficiently across a wide temperature range from -40°C to +85°C, ensuring reliability in demanding environments. Its advanced networking capabilities, including Time-Sensitive Networking (TSN), provide precise and dependable data transmission. The module supports AI-driven tasks and high-resolution multimedia processing, thanks to its robust Intel® UHD Graphics.

The module’s performance makes it ideal for a variety of industries that require robustness and high data processing:

Industrial automation

The SOM-SMARC-ASL module is not just designed for demanding industrial applications, it excels in them. It can operate in extreme temperature ranges from -40°C to +85°C and supports industrial protocols, making it an ideal choice for automated processes and machines. Its robust networking capabilities, including Time-Sensitive Networking (TSN), ensure precise data transmission for real-time control and data processing, enhancing efficiency and reliability.

Medical Safety & Surveillance

In medical safety and surveillance, the SOM-SMARC-ASL module excels with its ability to handle multiple video streams, making it suitable for various monitoring applications. Its power-efficient deep learning inference capabilities ensure accurate and real-time data processing, essential for patient monitoring and safety systems. The module’s compatibility with medical imaging equipment further enhances its utility in healthcare environments.

Coffee and vending machines

The SOM-SMARC-ASL module is highly suitable for applications in coffee and vending machines. Its rugged design withstands the demanding environment of these machines, and its power-efficient processing manages inventory, payments, and customer interactions effectively. The compact form factor (50 x 82 mm) allows for easy integration into vending machines and coffee stations, while its wide temperature range support ensures reliable operation in varying conditions.

IoT applications

In addition, the module is 100% compatible with SECO’s IoT software suite Clea.

Clea is an advanced IoT platform designed to help businesses optimize and streamline their IoT deployments. With Clea, users can efficiently manage, analyze, and leverage their devices and data to make informed decisions. The platform offers many benefits, including seamless integration, real-time data processing and analytics, and comprehensive security features. Clea enables companies to maximize the performance of their IoT devices, reduce costs, and improve operational efficiency. Clea provides a flexible and scalable solution to meet the challenges of the modern IoT landscape by supporting a wide range of communication protocols and handling large volumes of data.

The SOM-SMARC-ASL module from SECO is a commitment to quality and innovation. It sets new standards in IoT technology, impressing with its robust performance, versatility, and efficiency. This adaptability is what makes it an ideal solution for a wide range of IoT applications, be it in industrial automation, healthcare, smart devices, or vending machines.

For more information on this powerful solution please visit https://marketing.seco.com/som-smarc-asl-adl-n-iot or contact a SECO Expert.

The post Get to market fast with SECO’s industrial-class solution featuring Intel Atom® X7000RE processors appeared first on IoT Business News.

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